Class cv::optflow::GPCForest#

#include <opencv2/optflow/sparse_matching_gpc.hpp>

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Public Member Functions#

Public Member Functions inherited from cv::Algorithm

Return	Name	Description
	`Algorithm()`
	`~Algorithm()`
`void`	`clear()`	Clears the algorithm state.
`bool`	`empty()`	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
`String`	`getDefaultName()`
`void`	`read(const FileNode & fn)`	Reads algorithm parameters from a file storage.
`void`	`save(const String & filename)`
`void`	`write(` `const Ptr< FileStorage > & fs,` `const String & name = String() )`
`void`	`write(FileStorage & fs)`	Stores algorithm parameters in a file storage.
`void`	`write(` `FileStorage & fs,` `const String & name )`

Static Public Member Functions#

Static Public Member Functions inherited from cv::Algorithm

Return	Name	Description
`static Ptr< _Tp >`	`load(` `const String & filename,` `const String & objname = String() )`	Loads algorithm from the file.
`static Ptr< _Tp >`	`loadFromString(` `const String & strModel,` `const String & objname = String() )`	Loads algorithm from a String.
`static Ptr< _Tp >`	`read(const FileNode & fn)`	Reads algorithm from the file node.

Additional Inherited Members#

Member Function Documentation#

read()#

void cv::optflow::GPCForest::read(const FileNode & fn)

Reads algorithm parameters from a file storage.

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train()#

void cv::optflow::GPCForest::train(
const std::vector< String > & imagesFrom,
const std::vector< String > & imagesTo,
const std::vector< String > & gt,
const GPCTrainingParams params = GPCTrainingParams() )

Train the forest using individual samples for each tree. It is generally better to use this instead of the first method.

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train()#

void cv::optflow::GPCForest::train(
GPCTrainingSamples & samples,
const GPCTrainingParams params = GPCTrainingParams() )

Train the forest using one sample set for every tree. Please, consider using the next method instead of this one for better quality.

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train()#

void cv::optflow::GPCForest::train(
InputArrayOfArrays imagesFrom,
InputArrayOfArrays imagesTo,
InputArrayOfArrays gt,
const GPCTrainingParams params = GPCTrainingParams() )

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write()#

void cv::optflow::GPCForest::write(FileStorage & fs)

Stores algorithm parameters in a file storage.

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create()#

static Ptr< GPCForest > cv::optflow::GPCForest::create()

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Member Data Documentation#

tree#

GPCTree cv::optflow::GPCForest::tree

Source file#

The documentation for this class was generated from the following file:

opencv2/optflow/sparse_matching_gpc.hpp